The World Bank Group is one of the world’s largest sources of funding and knowledge for developing countries, promoting sustainable solutions that reduce poverty and build shared prosperity in the developing world. With extensive experience in supporting and leading applied research and science, NLT provides several divisions at the World Bank support and guidance implementing geospatial solutions and state-of-the-art technology in the Bank`s routine R&D. NLT’s team of Economists, Geographers, Remote Sensing Scientists and Statisticians has been involved in multiple research projects with the Bank`s units, including with the Big Data program in the Global Operations Knowledge Management unit and with the Development Research Group.
Some of the projects NLT has been supporting include:
- Applying advanced machine learning and remote sensing analysis of satellite imagery to measure land cover and land use changes in Laos and the effectiveness of land policy intervention in the country;
- Developing methodologies and workflows that exploit satellite imagery to detect unregistered parcels and informal structures in Lusaka, Zambia, with the aim of enhancing collection of revenue from ground rent and taxation;
- Providing technical assistance geocoding the locations of firms and establishments in multiple countries in the developing world and developing methods to measure firm productivity with satellite data;
- Estimating the relation between economic activity and deforestation in Macedonia over the past three decades;
Using machine learning and nighttime light data to measure the effect of new transportation corridors on local and regional economic development.